We just launched HttpStatus MCP Server 24 tools for API mocking, security scanning, chaos engineering, and monitoring that work directly inside AI assistants.
Curious to hear from the community:
What's the biggest friction point when switching between your AI assistant and API testing tools?
Which MCP tools do you use most in your workflow?
If you could ask your AI assistant to do one API task for you, what would it be?
HttpStatus MCP Server connects your AI assistant to 24 production-ready API tools. No context switching — mock APIs, run security scans, check SSL certs, validate OpenAPI specs, debug CORS, capture webhooks, build automation workflows, and monitor uptime, all from Claude, Cursor, all MCP-compatible client.
One-line setup:
{
"mcpServers": {
"httpstatus": {
"url": "https://mcp.httpstatus.com/mcp"
}
}
}
Supports OAuth2 and Bearer token auth. Published on the official MCP registry.
AI-powered platform to test APIs and websites, generate mock servers, monitor uptime, and collaborate in workspaces. No signup required. Instant results.
